Protect Every Megawatt-Hour
Delayed or duplicated generation data skews forecasts and triggers costly storage overcorrections. Expanso validates telemetry at each site, so dispatch and curtailment decisions reflect actual output.
No hardware replacement. No changes to existing inverters or controllers.
Distributed generation without distributed validation is operational guesswork
When generation data from dozens of sites arrives late, duplicated, or incomplete, every downstream system - forecasting, storage dispatch, curtailment - operates on distorted inputs. The revenue impact compounds across every site, every hour.
Forecast models optimize against delayed inputs from remote sites
When a solar farm's inverter data arrives 30 seconds late, the forecast model treats the stale readings as current. The resulting dispatch and curtailment decisions don't match reality. Storage charges when it shouldn't. Viable generation gets curtailed.
5-15% duplicated data makes intermittency look worse than it is
Retransmitted inverter readings enter your analytics as separate observations. Output appears to spike and dip when the equipment was generating steadily. Investors and regulators see volatility that doesn't exist.
Storage dispatch based on stale readings wastes capacity
When the dispatch system sees delayed generation data, it charges storage to compensate for a dip that already resolved. By the time the real data arrives, the battery cycle has been wasted.
Curtailment misfires waste viable generation output
Curtailment logic that operates on incomplete data windows cuts generation that the grid could have absorbed. Each misfire reduces revenue and erodes PPA performance metrics.
Generation data integrity, enforced at every site
Expanso validates every inverter reading, nacelle metric, and storage dispatch signal at the source. Your forecast models, dispatch systems, and grid operators only receive data that passes validation.
What we validate
Inverter completeness - every unit in the cluster reporting before data is forwarded
Duplicate suppression - retransmitted readings stripped at the site before aggregation
Cross-site timing - generation data from all sites aligned before dispatch consumes it
Storage SOC accuracy - state of charge validated against dispatch commands
What your systems receive
Time-consistent generation data across all sites in the portfolio
Deduplicated streams that reflect actual generation, not retry artifacts
Complete data windows so curtailment logic operates on full information
Latency flags when site data exceeds freshness thresholds
Large-Scale Deployment
14,847 distributed endpoints. 4.7 PB/month. Edge-first validation at scale.
A major U.S. deployment across 14,847 endpoints validated Expanso's approach to edge-first data integrity. Processing moved to points of presence, raw data stayed local, and only metadata and flagged events flowed upstream.
"Isn't this what our data platform already does?"
Your platform aggregates generation data from across your solar, wind, and storage sites. It stores it, visualizes it, and feeds your analytics. But it doesn't verify that every inverter reading and dispatch signal is complete, time-consistent, and free of duplicates before it arrives.
Expanso validates at each site before aggregation. Your forecasts, dispatch decisions, and curtailment logic all operate on inputs that reflect what's actually happening in the field.
Built for renewable operations
Vendor-agnostic across all inverter and controller types
Deploys site by site across wind, solar, and storage
No hardware replacement or firmware changes required
No disruption to generation or dispatch operations
Why teams deploy Expanso
Cleaner forecasting inputs improve generation predictions
Fewer storage overcorrections from delayed data
Higher confidence in regulatory and investor reporting
Scales across every site in your portfolio
Every megawatt-hour you can't verify is revenue you can't protect
Validate at every site. Protect every megawatt-hour.